Hi Feixia,
You could certainly use Chimera to do that.  You need to know some Python.  Take a look at the Programmer’s Guide:

http://www.cgl.ucsf.edu/chimera/docs/ProgrammersGuide/index.html

In particular, the “basic primer” discusses how to loop over files in a directory and do things to them one by one.
Here’s some example code for printing the lysine CA-CA distances for a single open file.  You could take that and move it into the loop described in the basic primer — customizing it as you wish…

from chimera import openModels, Molecule
# opening NMR files can produce multiple models, so use a loop...
for mol in openModels.list(modelTypes=[Molecule]):
lysCas = [a for a in mol.atoms if a.name == “CA” and a.residue.type == “LYS”]
for i, ca1 in enumerate(lysCas):
for ca2 in lysCas[i+1:]:
print mol.name, ca1, ca2, ca1.coord().distance(ca2.coord())

—Eric

Eric Pettersen
UCSF Computer Graphics Lab

On Aug 18, 2015, at 8:36 AM, Feixia <feixia.chu@unh.edu> wrote:

Hi there,

I am interested in retrieving distance information from large dataset in an automatic fashion.  For instance, can we use Chimera to get the distances between lysine alpha-carbons of current PDB entries.  Presumably, we can download all PDB structures on our local desktop, and just call functions one structure at a time.  I wonder if we can do that with Chimera.  Your advice will be highly appreciated.

Best,
Feixia

--

Feixia Chu, Ph.D.
Associate Professor
Molecular, Cellular & Biomedical Sciences
University of New Hampshire
Gregg Hall, Rm436
35 Colovos Rd
Durham, NH 03824
Tel 603 862 2436
_______________________________________________
Chimera-dev mailing list
Chimera-dev@cgl.ucsf.edu
http://plato.cgl.ucsf.edu/mailman/listinfo/chimera-dev